Update README.md

README.md

@@ -20,10 +20,7 @@ task_ids:
 - open-domain-qa
 - extractive-qa
 paperswithcode_id: squad-tr
-configs:
-- default
-- excluded
-- openqa
+
 
 dataset_info:
 - config_name: default
@@ -98,11 +95,12 @@ dataset_info:
   download_size: 14696114
   dataset_size: 130910261
 ---
+
 # Dataset Card for SQuAD-TR
 
 ## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
+- [SQuAD-TR](#dataset-summary)
+  - [Dataset Description](#dataset-description)
 - [Dataset Structure](#dataset-structure)
   - [Data Instances](#data-instances)
   - [Data Fields](#data-fields)
@@ -114,15 +112,16 @@ dataset_info:
   - [Licensing Information](#licensing-information)
   - [Citation Information](#citation-information)
 
-## Dataset Description
+## 📜 SQuAD-TR
+
+SQuAD-TR is a machine translated version of the original [SQuAD2.0](https://rajpurkar.github.io/SQuAD-explorer/) dataset into Turkish, using [Amazon Translate](https://aws.amazon.com/translate/).
+
+### Dataset Description
 
 - **Repository:** [SQuAD-TR GitHub Repository](https://github.com/boun-tabi/SQuAD2.0-TR)
 - **Paper:** Building Efficient and Effective OpenQA Systems for Low-Resource Languages
 - **Point of Contact:** [Emrah Budur](mailto:emrah.budur@boun.edu.tr)
 
-### Dataset Summary
-
-SQuAD-TR is a machine translated version of the original SQuAD2.0 dataset into Turkish, using "Amazon Translate".
 
 ## Dataset Structure
 
@@ -204,12 +203,15 @@ More information on our translation strategy can be found in our linked paper.
 
 This dataset used the original SQuAD2.0 dataset as its source data.
 
-### Licensing Information
+### 🏷 Licensing Information
 
 The SQuAD-TR is released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) in accordance with the license of SQuAD-2.0. 
 
-### Citation Information
+### ✍️ Citation
 
 ```
-@article{[TODO Emrah]}
-```
+@article{[TBD]}
+```
+ 
+## ❤ Acknowledgment
+This research was supported by the _[AWS Cloud Credits for Research Program](https://aws.amazon.com/government-education/research-and-technical-computing/cloud-credit-for-research/) (formerly AWS Research Grants)_.